Abstract
The paper considers the application of the locator cellular automaton model to the closest neighbor search problem. The locator cellular automaton model assumes the possibility for each cell to translate a signal through any distance using the ether. It was proven earlier that the ether model allows solving the problem with logarithmic time. In this paper we have derived a logarithmic lower bound for this problem.
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ACKNOWLEDGMENTS
The authors thank Candidate of Physical and Mathematical Sciences G.V. Kalachev for fruitful remarks.
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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.
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Translated by E. Oborin
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Vasilev, D.I., Gasanov, E.E. A Lower Bound on Complexity of a Locator Cellular Automaton Solution for the Closest Neighbor Search Problem. Moscow Univ. Math. Bull. 78, 244–252 (2023). https://doi.org/10.3103/S0027132223050078
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DOI: https://doi.org/10.3103/S0027132223050078